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Yu Zhu

Institute of Automation, Chinese Academy of Sciences

10 papers hereh-index 10373 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author6

Across the 7 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • eess.IV3
  • q-bio.NC2
  • cs.LG1
  • stat.ML1
affiliations
  • Institute of Automation, Chinese Academy of Sciences
HomepageORCID 0000-0001-8836-7939
same name
  • Yu Zhu — 15 papers, h 14
  • Yu Zhu — 9 papers, h 6
  • Yu Zhu — 8 papers, h 17
  • Yu Zhu — 8 papers, h 2
  • Yu Zhu — 6 papers, h 15
  • Yu Zhu — 6 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202024
most citedAIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results

16 citations · 52 across the 9 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.CV2020★ 16 cited

AIM 2020 Challenge on Learned Image Signal Processing Pipeline

Andrey Ignatov, Radu Timofte, Zhilu Zhang +36

This paper reviews the second AIM learned ISP challenge and provides the description of the proposed solutions and results. The participating teams were solving a real-world RAW-to…

cs.CV2020★ 14 cited

AIM 2020: Scene Relighting and Illumination Estimation Challenge

Majed El Helou, Ruofan Zhou, Sabine Süsstrunk +34

We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different propos…

eess.IV2020

AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Kai Zhang, Martin Danelljan, Yawei Li +75

This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.